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Raman Spectroscopy: Overview

Raman Spectroscopy: Overview

The underlying principle of Raman spectroscopy is based on the interaction between light and matter, specifically molecules' inelastic scattering of photons. When a monochromatic beam of light, typically from a laser source, interacts with a sample, most scattered light has the same frequency as the incident light. This is known as Rayleigh scattering.
However, a small fraction of the scattered light exhibits a frequency shift due to the exchange of energy between the incident photons and...

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Updated: Mar 12, 2026

An Integrated Raman Spectroscopy and Mass Spectrometry Platform to Study Single-Cell Drug Uptake, Metabolism, and Effects

An Integrated Raman Spectroscopy and Mass Spectrometry Platform to Study Single-Cell Drug Uptake, Metabolism, and Effects

Published on: January 9, 2020

Raman Spectral Signatures of Human Neutrophils: A Single-Cell Approach.

Lenka Vaňková¹, Jiří Bufka^1,2,3, Pavla Šigutová⁴

¹Faculty of Medicine in Pilsen, Charles University in Prague, Pilsen, Czech Republic.

Journal of Biophotonics

|March 10, 2026

Summary

Raman microscopy offers a reliable method for analyzing human neutrophils, revealing consistent molecular profiles across healthy donors. This technique shows promise for non-invasive clinical diagnostics and assessing immune cell health.

Keywords:

Raman microscopy hematological smear molecular fingerprinting neutrophils neutrophils spectra

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Last Updated: Mar 12, 2026

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Area of Science:

Biomedical Optics
Spectroscopy
Cellular Biology

Background:

Raman spectroscopy and microscopy provide noninvasive, molecular-level analysis of biological samples.
These techniques are increasingly vital in medical diagnostics and research.

Purpose of the Study:

To establish a reliable and repeatable method for Raman spectroscopic profiling of human neutrophils.
To assess interindividual spectral variability in neutrophils from healthy donors.

Main Methods:

Acquisition of 1200 single-cell Raman spectra from human neutrophils in peripheral blood smears across 12 healthy donors.
Utilized Raman microscopy for spectral data collection.
Applied t-distributed stochastic neighbor embedding and principal component analysis for variability assessment.

Main Results:

Consistent spectral features of key biomolecules (proteins, nucleic acids, carotenoids, cytochrome c) were observed.
Analysis revealed minimal spectral divergence and high reproducibility between donors.
Methodological groundwork was established for future immune cell state assessments.

Conclusions:

Raman microscopy demonstrates significant potential for clinical diagnostics.
The technique enables non-invasive tracking of cellular metabolic states.
This approach supports future applications in assessing immune cell status in health and disease.